Machine Learning Engineer 3D Geometry/ Multi-Modal

• →Collaborate on projects at the intersection of research and product with a diverse, global team
• →Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models
• →Work with complex datasets and representations for model training, evaluation, and analysis
• →Analyze errors and provide solutions to problems
• →Present results to collaborators and leadership

• BSc or MSc in Computer Science, or equivalent industry experience
• 3+ years of machine learning experience
• Experience working in research or experimental environments with evolving requirements
• Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace)
• Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
• Experience working with diverse data representations, including 2D and 3D geometry
• Experience with version control, reproducibility, and deploying machine learning models
• Experience using modern AI/GenAI tools in development or experimentation workflows
• Excellent written documentation skills

• Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or related field
• Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
• Experience with cloud services and architectures (e.g. AWS, Azure)
• Experience with LLMs or generative AI systems (fine-tuning, prompting, evaluation)
• Knowledge of the design, manufacturing, AEC, or media & entertainment industries
• Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)

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